Main Python File

This file consists of the code for merging two CSV file into one and generate a new file into the local repository.

Author: Jayesh Manani

Merge2CSV.py

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+#First Import pandas library as pd for ease of use
+import pandas as pd
+
+#Now read CSV file from your local location by using read_csv function of pandas library and save
+# it to some variable here its df0
+df0 = pd.read_csv('CSV/ratings.csv')
+
+#Now read another CSV file from your local location by using read_csv function of pandas library
+# and save it to some variable here its df1 and give it encoding='latin-1' only if it can't
+# decode UTF-8 encoding
+df1= pd.read_csv('CSV/movies.csv',encoding='latin-1')
+
+#Use .head() function of pandas only if you want to see some data in the variable of type dataframe
+# by default it takes value of first 5 but you can give some parameter to the function
+# .head(10) will shows first 10 values from the dataframe
+
+#print(df0.head())
+#print(df1.head())
+
+# use the merge function to merge csv files and give it parameter as shows below, on means the name of the column which
+# is common on both csv files and can be used to jion both csv files data into one. and then save it to some variable
+result = pd.merge(df1,
+                 df0[['userId', 'movieId', 'rating','timestamp']],
+                 on='movieId')
+
+#print(result.head())
+
+# .shape() function is used for know the shape of the data you are using, like the no. of columns and rows.
+#print(df1.shape)
+#print(df0.shape)
+
+#print(result.shape)
+
+# use the function .to_csv of the pandas library for saving the result of merged csv files to the new csv files.
+result.to_csv('CSV/merged.csv')